SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning
SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning explores SFedHIFI enables efficient heterogeneous federated learning for resource-constrained clients using spiking neural networks.. Commercial viability score: 4/10 in Federated Learning.
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